code: def _post_check(self, non_concrete_arg_names: Set[str]):
      # This is necessary because concrete args are added as input to the traced module since
      # https://github.com/pytorch/pytorch/pull/55888.
      for node in self.graph.nodes:
          if node.op == "placeholder":
              # Removing default values for inputs as the forward pass will fail with them.
              if node.target in non_concrete_arg_names:
                  node.args = ()
                  # Without this, torch.jit.script fails because the inputs type is Optional[torch.Tensor].
                  # It cannot infer on the attributes and methods the input should have, and fails.
                  node.type = torch.Tensor
              # It is a concrete arg so it is not used and should be removed.
              else:
                  if hasattr(
                      torch.fx._symbolic_trace, "_assert_is_none"
                  ):
                      # Newer versions of torch.fx emit an assert statement
                      # for concrete arguments; delete those before we delete
                      # the concrete arg.
                      to_delete = []
                      for user in node.users:
                          if (
                              user.target
                              == torch.fx._symbolic_trace._assert_is_none
                          ):
                              to_delete.append(user)
                      for user in to_delete:
                          self.graph.erase_node(user)
  
                  self.graph.erase_node(node)
  
          if node.op == "output":
              node.type = None
          self.graph.lint()
  
imports: import functools
  import inspect
  from contextlib import contextmanager
  from typing import Any, Callable, Dict, Iterable, Optional, Set, Tuple, Type, Union
  import torch
  import torch.nn
  from torch.fx import Graph, Node, Proxy, Tracer
  from torch.utils._pytree import tree_map
  from colossalai._analyzer._subclasses import _TensorPropertyMethod, _TorchFactoryMethod
  from ..node_util import MetaInfo
  from .proxy import ColoProxy
label_desc: Use image node_id 10 for calling the ColoTracer obj's underlying member method code with example usage: obj._post_check(non_concrete_arg_names) without return types